youngkingdom/ragflow
1
0
Fork 0
mirror of https://github.com/infiniflow/ragflow.git synced 2026-03-28 01:50:38 +08:00
Code Issues Packages Projects Releases Wiki Activity
Files
840cc8fbe91927d766ea7c3d7fea1fa984e1d8ba
ragflow/docs/guides/models/supported_models.mdx
tmimmanuel 13d0df1562 feat: add Perplexity contextualized embeddings API as a new model provider (#13709) 
### What problem does this PR solve?

Adds Perplexity contextualized embeddings API as a new model provider,
as requested in #13610.

- `PerplexityEmbed` provider in `rag/llm/embedding_model.py` supporting
both standard (`/v1/embeddings`) and contextualized
(`/v1/contextualizedembeddings`) endpoints
- All 4 Perplexity embedding models registered in
`conf/llm_factories.json`: `pplx-embed-v1-0.6b`, `pplx-embed-v1-4b`,
`pplx-embed-context-v1-0.6b`, `pplx-embed-context-v1-4b`
- Frontend entries (enum, icon mapping, API key URL) in
`web/src/constants/llm.ts`
- Updated `docs/guides/models/supported_models.mdx`
- 22 unit tests in `test/unit_test/rag/llm/test_perplexity_embed.py`

Perplexity's API returns `base64_int8` encoded embeddings (not
OpenAI-compatible), so this uses a custom `requests`-based
implementation. Contextualized vs standard model is auto-detected from
the model name.

Closes #13610

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
2026-03-20 10:47:48 +08:00

97 lines
10 KiB
Plaintext
Raw Blame History

---
sidebar_position: 3
slug: /supported_models
sidebar_custom_props: {
categoryIcon: LucideBox
}
---
# Supported models
import APITable from '@site/src/components/APITable';
A complete list of models supported by RAGFlow, which will continue to expand.
```mdx-code-block
<APITable>
```
| Provider | LLM | Image2Text | Speech2text | TTS | Embedding | Rerank | OCR |
| --------------------- | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ |
| Anthropic | :heavy_check_mark: | | | | | | |
| Avian | :heavy_check_mark: | | | | | | |
| Azure-OpenAI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | |
| BaiChuan | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| BaiduYiyan | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| Bedrock | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| Cohere | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| DeepSeek | :heavy_check_mark: | | | | | | |
| Fish Audio | | | | :heavy_check_mark: | | | |
| Gemini | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| Google Cloud | :heavy_check_mark: | | | | | | |
| GPUStack | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
| Groq | :heavy_check_mark: | | | | | | |
| HuggingFace | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| Jina | | | | | :heavy_check_mark: | :heavy_check_mark: | |
| LocalAI | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| LongCat | :heavy_check_mark: | | | | | | |
| LM-Studio | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| MiniMax | :heavy_check_mark: | | | | | | |
| MinerU | | | | | | | :heavy_check_mark: |
| Mistral | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| ModelScope | :heavy_check_mark: | | | | | | |
| Moonshot | :heavy_check_mark: | :heavy_check_mark: | | | | | |
| NovitaAI | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| NVIDIA | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| Ollama | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| OpenAI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| OpenAI-API-Compatible | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| OpenRouter | :heavy_check_mark: | :heavy_check_mark: | | | | | |
| Perplexity | | :heavy_check_mark: | | | | | |
| Replicate | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| PPIO | :heavy_check_mark: | | | | | | |
| SILICONFLOW | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| StepFun | :heavy_check_mark: | | | | | | |
| Tencent Hunyuan | :heavy_check_mark: | | | | | | |
| Tencent Cloud | | | :heavy_check_mark: | | | | |
| TogetherAI | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| TokenPony | :heavy_check_mark: | | | | | | |
| Tongyi-Qianwen | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
| Upstage | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| VLLM | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| VolcEngine | :heavy_check_mark: | | | | | | |
| Voyage AI | | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| Xinference | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
| XunFei Spark | :heavy_check_mark: | | | :heavy_check_mark: | | | |
| xAI | :heavy_check_mark: | :heavy_check_mark: | | | | | |
| ZHIPU-AI | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | | |
| DeepInfra | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| 302.AI | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| CometAPI | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| DeerAPI | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: | | |
| Jiekou.AI | :heavy_check_mark: | | | | :heavy_check_mark: | :heavy_check_mark: | |
```mdx-code-block
</APITable>
```
:::danger IMPORTANT
If your model is not listed here but has APIs compatible with those of OpenAI, click **OpenAI-API-Compatible** on the **Model providers** page to configure your model.
:::
## Example: AI Badgr (OpenAI-compatible)
You can use **AI Badgr** with RAGFlow via the existing OpenAI-API-Compatible provider.
To configure AI Badgr:
- **Provider**: `OpenAI-API-Compatible`
- **Base URL**: `https://aibadgr.com/api/v1`
- **API Key**: your AI Badgr API key (from the AI Badgr dashboard)
- **Model**: any AI Badgr chat or embedding model ID, as exposed by AI Badgr's OpenAI-compatible APIs
AI Badgr implements OpenAI-compatible endpoints for `/v1/chat/completions`, `/v1/embeddings`, and `/v1/models`, so no additional code changes in RAGFlow are required.
:::note
The list of supported models is extracted from [this source](https://github.com/infiniflow/ragflow/blob/main/rag/llm/__init__.py) and may not be the most current. For the latest supported model list, please refer to the Python file.
:::
Reference in New Issue View Git Blame Copy Permalink